Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
for Extreme Environments The Materials Modeling Group (Prof. Malik Wagih), launching February 2026 in the Department of Materials at ETH Zurich, invites applications for PhD positions starting June 2026 or by
-
We are looking for highly motivated, committed, and creative individuals who can work in a team and have outstanding communication skills Working in a top-level research environment with advanced
-
of Computational Fluid Dynamics CFD environment and simulations including: - Computation of the microwave field, Coupling of the microwave field with the plasma - Computation of elementary ionization, recombination
-
biology and translational biomedical research. The environment at Empa strongly fosters science and entrepreneurship, we offer outstanding infrastructure, a broad interdisciplinary environment and
-
that autonomously optimizes 3D velocimetry measurements by dynamically adjusting camera positions and optical parameters. Integrating the framework within a digital twin environment for pre-training and simulation
-
infrastructures, or urban energy applications is a strong asset. You are self-driven, creative, and bring strong problem-solving skills as well as the ability to work in an interdisciplinary environment
-
interdisciplinary environment at the interface of computational chemistry, biophysics, and pharmacology. Further information on the group’s research activities and publications is available at: https
-
August 2026 We offer ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and
-
exploitation of natural hydrogen as a clean energy source. This research addresses fundamental questions about mechanochemical reactions in natural materials and energy flow in Earth’s deep environments and its
-
reliable, and more informative CMR. The project will be carried out in a highly interdisciplinary environment at ETH Zurich, with close collaboration between engineers, physicists, clinicians, and data